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gpt-investor's Issues

compare_companies function is never called

Love your work on this. Just be aware that compare_companies is never called, neither is get_claude_comps_analysis and final_analysis receives an empty dictionary. This results in the ranking at the often not working, as Opus -rightfully- complains about financial data missing.

Industry Examples

Can you give us examples of what industries this is expecting and in what formats?
Thanks!!

Can't open HyperWrite

Dear Author, why I can't open HyperWrite?
This website has been loading continuously.

Industry?

What names go inside that box? And why can't we have all industries?

Btw, if I type "Health Care" for example it gives me error.

Claude meme coin analyst

I have tried to use this notebook. But I see this error below. Any ideas why?

Analyzing the following coins: ['Dogecoin', 'Shiba Inu', 'Floki']

Analyzing Dogecoin for 2024-04-03...
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
[<ipython-input-3-9794b9bbc853>](https://localhost:8080/#) in <cell line: 139>()
    147 
    148     # Select relevant URLs
--> 149     relevant_urls = select_relevant_urls(search_results)
    150 
    151     # Get article text from relevant URLs

[<ipython-input-3-9794b9bbc853>](https://localhost:8080/#) in select_relevant_urls(search_results)
     31     }
     32     response = requests.post("https://api.anthropic.com/v1/messages", headers=headers, json=data)
---> 33     response_text = response.json()['content'][0]['text']
     34     numbers = ast.literal_eval(response_text)
     35     relevant_indices = [int(num) - 1 for num in numbers]

KeyError: 'content'

Anthropic SDK available for python

Not set up right now to make it a pull request, but for those who care: You can use the anthropic python sdk now.

!pip install -U anthropic
import anthropic

client = anthropic.Anthropic(
    api_key=ANTHROPIC_API_KEY,
)


def ask_claude(system_prompt, messages, model="claude-3-opus-20240229", max_tokens=2000):
    try:
        message = client.messages.create(
            model=model,
            max_tokens=max_tokens,
            temperature=0.5,
            system=system_prompt,
            messages=messages
        )
        # count_tokens(model=model, in_tokens=message.usage.input_tokens, out_tokens=message.usage.output_tokens)
    except anthropic.APIConnectionError as e:
        print("The server could not be reached")
        print(e.__cause__)  # an underlying Exception, likely raised within httpx.
    except anthropic.RateLimitError as e:
        print("A 429 status code was received; we should back off a bit.")
    except anthropic.APIStatusError as e:
        print("Another non-200-range status code was received")
        print(e.status_code)
        print(e.response)
        
    return message.content[0].text

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